03 Jun
Introducing AI to Instantly Remove Ring and Bracelet Backs for Faster Virtual Try-On
At Camweara, we’re constantly pushing the boundaries of what’s possible in augmented reality and computer vision for jewelry retail. Today, we’re excited to announce a powerful new AI feature that makes onboarding new products—especially rings and bracelets—faster than ever.
Say Goodbye to the Tedious Back-Part Editing
One of the most time-consuming steps in preparing jewelry for virtual try-on has been editing out the part of the product that visually sits behind the finger or wrist—the hidden or “back” part. While it’s not visible to the customer during the try-on experience, it needs to be removed manually to ensure a realistic and seamless appearance.
Our newly launched AI automates this process.
Using advanced vision models, the AI detects and removes the back portion of rings and bracelets that would normally be obscured when worn. This results in:
- Significantly faster product onboarding
- More consistent visuals
- Time and cost savings for our partner brands
What This Means for Brands
Adding new jewelry styles to your Camweara-powered try-on experience just got a whole lot simpler. Whether you’re launching a new bridal collection or refreshing your everyday essentials, your team can now upload assets and see them ready for virtual try-on in record time—without the usual post-production bottlenecks.
This also opens the door to scaling catalogs effortlessly during festive seasons, flash sales, or global launches.
More AI Features on the Way:
This release is just the beginning. We’re investing heavily in AI-driven automation to improve product rendering, fit accuracy, and instantly enable virtual try on across the categories.
At Camweara, our goal is simple: make virtual try-on effortless, immersive, and scalable—for every brand, everywhere.
Stay tuned for more updates. And as always, we’d love to hear your feedback.
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Camweara is an AR Virtual Try On software helping people to try jewelry, eyewear, hats & many other categories before purchase. Thereby, saving billions of dollars and billions of customers time!
